PAR:SU
Schneider Electric S.E. Stock Price (Quote)
229.15€
-3.70 (-1.59%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 204.55€ | 239.00€ | Friday, 17th May 2024 SU.PA stock ended at 229.15€. This is 1.59% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.11% from a day low at 227.55€ to a day high of 232.35€. |
90 days | 199.18€ | 239.00€ | |
52 weeks | 134.38€ | 239.00€ |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | 165.28€ | 165.90€ | 164.06€ | 164.06€ | 881 081 |
Nov 15, 2023 | 164.50€ | 165.80€ | 164.16€ | 164.46€ | 904 109 |
Nov 14, 2023 | 161.34€ | 164.42€ | 160.30€ | 163.98€ | 1 035 261 |
Nov 13, 2023 | 160.82€ | 162.08€ | 159.84€ | 160.74€ | 780 185 |
Nov 10, 2023 | 161.68€ | 162.52€ | 159.60€ | 160.80€ | 1 166 384 |
Nov 09, 2023 | 158.44€ | 163.66€ | 157.80€ | 163.36€ | 1 782 431 |
Nov 08, 2023 | 148.72€ | 152.32€ | 147.66€ | 150.90€ | 656 060 |
Nov 07, 2023 | 148.42€ | 150.38€ | 147.04€ | 149.42€ | 606 605 |
Nov 06, 2023 | 151.34€ | 151.80€ | 149.04€ | 149.24€ | 595 508 |
Nov 03, 2023 | 149.68€ | 151.84€ | 149.16€ | 150.70€ | 756 741 |
Nov 02, 2023 | 147.08€ | 151.50€ | 146.74€ | 149.48€ | 1 024 667 |
Nov 01, 2023 | 145.14€ | 146.30€ | 144.00€ | 145.22€ | 738 334 |
Oct 31, 2023 | 142.74€ | 145.76€ | 142.40€ | 144.98€ | 1 108 049 |
Oct 30, 2023 | 144.54€ | 144.66€ | 142.44€ | 142.84€ | 673 717 |
Oct 27, 2023 | 141.16€ | 143.96€ | 139.44€ | 143.06€ | 1 099 928 |
Oct 26, 2023 | 135.02€ | 140.46€ | 134.38€ | 140.02€ | 1 118 195 |
Oct 25, 2023 | 139.20€ | 140.02€ | 137.34€ | 139.98€ | 961 041 |
Oct 24, 2023 | 141.80€ | 141.80€ | 137.72€ | 139.42€ | 1 125 582 |
Oct 23, 2023 | 141.34€ | 142.04€ | 140.14€ | 141.92€ | 698 476 |
Oct 20, 2023 | 143.96€ | 144.00€ | 141.14€ | 141.44€ | 1 266 851 |
Oct 19, 2023 | 145.80€ | 146.94€ | 145.06€ | 145.74€ | 812 380 |
Oct 18, 2023 | 150.60€ | 150.74€ | 145.58€ | 147.10€ | 1 065 570 |
Oct 17, 2023 | 151.50€ | 152.52€ | 150.36€ | 151.90€ | 476 075 |
Oct 16, 2023 | 153.68€ | 153.78€ | 151.10€ | 152.16€ | 587 682 |
Oct 13, 2023 | 156.24€ | 156.56€ | 152.88€ | 153.12€ | 720 949 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use SU.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the SU.PA stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the SU.PA stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.